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Jungtaek Kim
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Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
J Lee, Y Lee, J Kim, A Kosiorek, S Choi, YW Teh
Proceedings of the 36th International Conference on Machine Learning, 3744-3753, 2019
10772019
Open Set Recognition by Regularizing Classifier with Fake Data Generated by Generative Adversarial Networks
I Jo, J Kim, H Kang, YD Kim, S Choi
Proceedings of the 43rd IEEE International Conference on Acoustics, Speech …, 2018
532018
Learning to Warm-Start Bayesian Hyperparameter Optimization
J Kim, S Kim, S Choi
arXiv preprint arXiv:1710.06219, 2017
452017
Bootstrapping Neural Processes
J Lee*, Y Lee*, J Kim, E Yang, SJ Hwang, YW Teh
Advances in Neural Information Processing Systems 33, 6606-6615, 2020
342020
On Evaluation Metrics for Graph Generative Models
R Thompson, B Knyazev, E Ghalebi, J Kim, GW Taylor
Proceedings of the 10th International Conference on Learning Representations, 2022
272022
On Local Optimizers of Acquisition Functions in Bayesian Optimization
J Kim, S Choi
Proceedings of the European Conference on Machine Learning and Principles …, 2020
152020
BayesO: A Bayesian Optimization Framework in Python
J Kim, S Choi
Journal of Open Source Software 8 (90), 5320, 2023
132023
Combinatorial 3D Shape Generation via Sequential Assembly
J Kim, H Chung, M Cho, J Park
NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation …, 2020
122020
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
H Chung*, J Kim*, B Knyazev, J Lee, GW Taylor, J Park, M Cho
Advances in Neural Information Processing Systems 34, 5745-5757, 2021
112021
Bayesian Optimization with Approximate Set Kernels
J Kim, M McCourt, T You, S Kim, S Choi
Machine Learning 110 (5), 857-879, 2021
102021
Bayesian Optimization over Sets
J Kim, M McCourt, T You, S Kim, S Choi
ICML Workshop on Automated Machine Learning, 2019
10*2019
MxML: Mixture of Meta-Learners for Few-Shot Classification
M Park, J Kim, S Kim, Y Liu, S Choi
arXiv preprint arXiv:1904.05658, 2019
82019
AutoML Challenge: AutoML Framework Using Random Space Partitioning Optimizer
J Kim, J Jeong, S Choi
ICML Workshop on Automatic Machine Learning, 2016
72016
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
J Kim, S Choi
Proceedings of the 25th International Conference on Artificial Intelligence …, 2022
62022
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes
J Kim, S Choi, M Cho
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence …, 2022
42022
Automated Machine Learning for Soft Voting in an Ensemble of Tree-based Classifiers
J Kim, S Choi
ICML Workshop on Automatic Machine Learning, 2018
42018
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization
J Kim, S Kim, S Choi
NeurIPS Workshop on Bayesian Optimization, 2017
42017
Clustering-Guided GP-UCB for Bayesian Optimization
J Kim, S Choi
Proceedings of the 43rd IEEE International Conference on Acoustics, Speech …, 2018
32018
Multi-BOWS: Multi-Fidelity Multi-Objective Bayesian Optimization with Warm Starts for Nanophotonic Structure Design
J Kim, M Li, Y Li, A Gomez, O Hinder, PW Leu
Digital Discovery 3 (2), 381-391, 2024
22024
Learning to Assemble Geometric Shapes
J Lee*, J Kim*, H Chung, J Park, M Cho
Proceedings of the 31st International Joint Conference on Artificial …, 2022
22022
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